How to do Semantic Segmentation using Deep learning | Python semantic segmentation
Thisarticleisacomprehensiveoverviewincludingastep-by-stepguidetoimplementadeeplearningimagesegmentationmodel.WesharedanewupdatedblogonSemanticSegmentationhere:A2021guidetoSemanticSegmentation[1]Nowadays,semanticsegmentationisoneofthekeyproblemsinthefieldofcomputervision.Lookingatthebigpicture,semanticsegmentationisoneofthehigh-leveltaskthatpavesthewaytowardscompletesceneunderstanding.Theimportanceofsceneunderstandingasacorecomputervision[2]problemishighlightedbythefactthatanincreasingnumbero...
This article is a comprehensive overview including a step-by-step guide to implement a deep learning image segmentation model.
We shared a new updated blog on Semantic Segmentation here: A 2021 guide to Semantic Segmentation[1]
Nowadays, semantic segmentation is one of the key problems in the field of computer vision. Looking at the big picture, semantic segmentation is one of the high-level task that paves the way towards complete scene understanding. The importance of scene understanding as a core computer vision[2] problem is highlighted by the fact that an increasing number of applications nourish from inferring knowledge from imagery. Some of those applications include self-driving vehicles, human-computer interaction, virtual reality etc. With the popularity of deep learning in recent years, many semantic segmentation problems are being tackled using deep architectures, most often Convolutional Neural Nets, which surpass other approaches by a large margin in ter...